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Wiranti Sri Utami
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Computer Science & IT

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Pemanfaatan Data Mining Menggunakan Metode K-Means Untuk Analisa Komoditas Telur Ayam Faisal, Muhammad; Suharmanto; Wiranti Sri Utami; Pratiwi, Nila
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1673

Abstract

Chicken eggs are a source of animal protein that taste delicious and have many benefits, especially in the culinary field or are one of the main ingredients in making cakes. Some animals, especially poultry, can produce eggs that can be bought and sold and consumed by humans, including chicken eggs, duck eggs, puyu eggs and goose eggs, but the most popular and frequently consumed by humans are chicken eggs. There are two types of chicken eggs, namely free-range chicken eggs (Buras) and free-range chicken eggs (Ras). Data on broiler egg commodities is recorded at the Central Statistics Agency (BPS) and this data can be used for research, especially in the field of data mining using the K-clustering method. The aim of the facility is to determine the commodity cluster for purebred chicken eggs in each province. The number of clusters obtained from 34 provinces was 8 clusters With a cluster percentage of 76,6%.
Penerapan Data Mining Menggunakan Metode Cluster K-Means Untuk Pengelompokkan Fasilitas Sekolah Muhammad, Faisal; Suharmanto; Janu Ilham Saputo; Wiranti Sri Utami
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2340

Abstract

School Facilities are facilities provided by schools or universities to support activities and can be utilized by students, teachers, students and staff within the scope of a particular education. In order to create good teaching and learning activities (KBM) and support the development process and achievements, good schools or universities must have classroom facilities, laboratories, libraries, canteens, places of worship and fields. By applying data mining and utilizing the data sources obtained and the application of the K-Means cluster method, information related to school facilities can be drawn. The number of clusters obtained is 2 clusters with the number of squares according to the cluster of 76.0%.
Co-Authors Faisal Muhammad, Faisal Janu Ilham Saputo Muhammad Faisal NILA PRATIWI, NILA Suharmanto